Pandas Profiling Report

Dataset statistics

Number of variables	47
Number of observations	1758
Missing cells	10
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	723.8 KiB
Average record size in memory	421.6 B

Variable types

Numeric	14
Categorical	33

Alerts

`Détecteur d'incendie(relié)` has constant value ""	Constant
`Détecteur d'incendie(non relié)` has constant value ""	Constant
`rooms` is highly overall correlated with `bedrooms` and 1 other fields	High correlation
`bedrooms` is highly overall correlated with `rooms`	High correlation
`washrooms` is highly overall correlated with `rooms`	High correlation
`yard_area` is highly overall correlated with `total_parking`	High correlation
`year_certificate` is highly overall correlated with `has_certificate`	High correlation
`total_parking` is highly overall correlated with `yard_area`	High correlation
`last_year_reno` is highly overall correlated with `has_reno`	High correlation
`has_certificate` is highly overall correlated with `year_certificate`	High correlation
`has_fireplace` is highly overall correlated with `fireplace_func`	High correlation
`fireplace_func` is highly overall correlated with `has_fireplace`	High correlation
`has_reno` is highly overall correlated with `last_year_reno`	High correlation
`near_water` is highly imbalanced (77.7%)	Imbalance
`has_pool` is highly imbalanced (75.1%)	Imbalance
`Convecteurs` is highly imbalanced (55.6%)	Imbalance
`Air soufflé (pulsé)` is highly imbalanced (62.0%)	Imbalance
`Radiant` is highly imbalanced (88.5%)	Imbalance
`Gaz naturel` is highly imbalanced (99.3%)	Imbalance
`Poêle à bois` is highly imbalanced (99.3%)	Imbalance
`Foyer au gaz` is highly imbalanced (99.3%)	Imbalance
`water_access` is highly imbalanced (96.7%)	Imbalance
`has_fireplace` is highly imbalanced (58.7%)	Imbalance
`fireplace_func` is highly imbalanced (60.7%)	Imbalance
`Porte de garage électrique` is highly imbalanced (92.1%)	Imbalance
`Buanderie` is highly imbalanced (92.1%)	Imbalance
`Aspirateur centrale` is highly imbalanced (69.0%)	Imbalance
`Spa` is highly imbalanced (98.7%)	Imbalance
`Adapté pour personne à mobilité réduite` is highly imbalanced (98.2%)	Imbalance
`Interphone` is highly imbalanced (95.8%)	Imbalance
`Fournaise` is highly imbalanced (98.2%)	Imbalance
`Planchers chauffant` is highly imbalanced (99.3%)	Imbalance
`Ascenseur` is highly imbalanced (98.7%)	Imbalance
`Échangeur d'air` is highly imbalanced (88.2%)	Imbalance
`Système d'alarme` is highly imbalanced (71.3%)	Imbalance
`Borne de recharge` is highly imbalanced (96.3%)	Imbalance
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`year_certificate` has 293 (16.7%) zeros	Zeros
`last_year_reno` has 1476 (84.0%) zeros	Zeros

Reproduction

Analysis started	2023-10-06 00:07:48.274761
Analysis finished	2023-10-06 00:07:58.146028
Duration	9.87 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

ID
Real number (ℝ)

UNIFORM UNIQUE

Distinct	1758
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	902.65131

Minimum	1
Maximum	1807
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	1
5-th percentile	91.7
Q1	452.25
median	899.5
Q3	1350.75
95-th percentile	1714.15
Maximum	1807
Range	1806
Interquartile range (IQR)	898.5

Descriptive statistics

Standard deviation	520.53999
Coefficient of variation (CV)	0.57667892
Kurtosis	-1.1968067
Mean	902.65131
Median Absolute Deviation (MAD)	449.5
Skewness	0.0012404057
Sum	1586861
Variance	270961.88
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
1201	1	0.1%
1212	1	0.1%
1211	1	0.1%
1210	1	0.1%
1209	1	0.1%
1208	1	0.1%
1207	1	0.1%
1206	1	0.1%
1205	1	0.1%
Other values (1748)	1748	99.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1807	1	0.1%
1806	1	0.1%
1805	1	0.1%
1804	1	0.1%
1803	1	0.1%
1802	1	0.1%
1801	1	0.1%
1800	1	0.1%
1799	1	0.1%
1798	1	0.1%

price
Real number (ℝ)

Distinct	345
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	830171.78

Minimum	700000
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	700000
5-th percentile	710000
Q1	759000
median	821000
Q3	892500
95-th percentile	980000
Maximum	1000000
Range	300000
Interquartile range (IQR)	133500

Descriptive statistics

Standard deviation	84244.046
Coefficient of variation (CV)	0.10147785
Kurtosis	-0.9318854
Mean	830171.78
Median Absolute Deviation (MAD)	67500
Skewness	0.31942314
Sum	1.459442 × 10⁹
Variance	7.0970593 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
800000	52	3.0%
850000	50	2.8%
750000	50	2.8%
700000	47	2.7%
900000	45	2.6%
775000	40	2.3%
730000	37	2.1%
1000000	36	2.0%
950000	30	1.7%
725000	30	1.7%
Other values (335)	1341	76.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
700000	47	2.7%
700500	1	0.1%
701000	2	0.1%
701500	1	0.1%
702000	2	0.1%
702500	1	0.1%
703000	1	0.1%
703500	1	0.1%
705000	14	0.8%
706000	1	0.1%

Value	Count	Frequency (%)
1000000	36	2.0%
999800	1	0.1%
999500	1	0.1%
999000	2	0.1%
998500	1	0.1%
997500	1	0.1%
997000	2	0.1%
996000	1	0.1%
995000	13	0.7%
992500	1	0.1%

units
Categorical

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

2	810
3	676
4	219
5	46
6	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

Most occurring characters

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	810	46.1%
3	676	38.5%
4	219	12.5%
5	46	2.6%
6	7	0.4%

income
Real number (ℝ)

Distinct	668
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40415.681

Minimum	2200
Maximum	141000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	2200
5-th percentile	24000
Q1	34680
median	40200
Q3	46800
95-th percentile	56298
Maximum	141000
Range	138800
Interquartile range (IQR)	12120

Descriptive statistics

Standard deviation	10287.667
Coefficient of variation (CV)	0.25454643
Kurtosis	5.8164642
Mean	40415.681
Median Absolute Deviation (MAD)	6000
Skewness	0.26975363
Sum	71050767
Variance	1.058361 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38400	38	2.2%
45600	32	1.8%
39600	31	1.8%
48000	29	1.6%
33600	26	1.5%
42000	26	1.5%
50400	24	1.4%
44400	23	1.3%
36000	22	1.3%
40800	21	1.2%
Other values (658)	1486	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2200	1	0.1%
3660	1	0.1%
5520	1	0.1%
7800	1	0.1%
9000	3	0.2%
9240	1	0.1%
9480	1	0.1%
9780	2	0.1%
10080	1	0.1%
10140	1	0.1%

Value	Count	Frequency (%)
141000	1	0.1%
78096	1	0.1%
78000	1	0.1%
71640	1	0.1%
67920	1	0.1%
67200	1	0.1%
67140	1	0.1%
66000	4	0.2%
65400	1	0.1%
65088	1	0.1%

land_eval
Real number (ℝ)

Distinct	1197
Distinct (%)	68.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	239195.97

Minimum	40200
Maximum	688600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	40200
5-th percentile	125385
Q1	174225
median	224450
Q3	290825
95-th percentile	403095
Maximum	688600
Range	648400
Interquartile range (IQR)	116600

Descriptive statistics

Standard deviation	88261.168
Coefficient of variation (CV)	0.36899104
Kurtosis	1.2394027
Mean	239195.97
Median Absolute Deviation (MAD)	56850
Skewness	0.92918903
Sum	4.2050651 × 10⁸
Variance	7.7900337 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
181200	16	0.9%
271800	13	0.7%
199000	9	0.5%
145700	8	0.5%
195100	8	0.5%
390200	8	0.5%
243900	7	0.4%
125400	7	0.4%
255500	6	0.3%
365900	6	0.3%
Other values (1187)	1670	95.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40200	1	0.1%
63900	1	0.1%
75200	1	0.1%
80000	1	0.1%
86100	1	0.1%
86200	1	0.1%
87400	3	0.2%
90000	1	0.1%
90300	1	0.1%
90500	1	0.1%

Value	Count	Frequency (%)
688600	1	0.1%
670700	1	0.1%
641000	1	0.1%
624700	1	0.1%
564400	1	0.1%
561900	1	0.1%
549200	1	0.1%
543500	1	0.1%
535600	1	0.1%
526800	2	0.1%

build_eval
Real number (ℝ)

Distinct	1424
Distinct (%)	81.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	422901.23

Minimum	124200
Maximum	1188600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	124200
5-th percentile	256710
Q1	337900
median	406251.5
Q3	493575
95-th percentile	649210
Maximum	1188600
Range	1064400
Interquartile range (IQR)	155675

Descriptive statistics

Standard deviation	126012.31
Coefficient of variation (CV)	0.29797101
Kurtosis	2.6220154
Mean	422901.23
Median Absolute Deviation (MAD)	77050
Skewness	1.0545023
Sum	7.4346036 × 10⁸
Variance	1.5879102 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
440200	5	0.3%
386400	5	0.3%
397500	5	0.3%
425000	4	0.2%
441800	4	0.2%
497300	4	0.2%
359500	4	0.2%
458500	4	0.2%
381200	4	0.2%
364700	4	0.2%
Other values (1414)	1715	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
124200	1	0.1%
127300	1	0.1%
128600	1	0.1%
151300	1	0.1%
153400	1	0.1%
156200	1	0.1%
158800	1	0.1%
161600	1	0.1%
168300	1	0.1%
168800	1	0.1%

Value	Count	Frequency (%)
1188600	1	0.1%
1103000	1	0.1%
1045400	1	0.1%
994700	1	0.1%
993800	1	0.1%
984700	1	0.1%
939400	1	0.1%
929600	1	0.1%
919800	1	0.1%
893500	1	0.1%

rooms
Real number (ℝ)

Distinct	15
Distinct (%)	0.9%
Missing	5
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	6.5231033

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	6
Q3	8
95-th percentile	11
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.2347038
Coefficient of variation (CV)	0.34258292
Kurtosis	0.95712271
Mean	6.5231033
Median Absolute Deviation (MAD)	1
Skewness	0.93598876
Sum	11435
Variance	4.9939009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
5	432	24.6%
6	306	17.4%
7	238	13.5%
8	210	11.9%
4	197	11.2%
9	121	6.9%
10	79	4.5%
3	67	3.8%
11	42	2.4%
12	28	1.6%
Other values (5)	33	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	0.1%
3	67	3.8%
4	197	11.2%
5	432	24.6%
6	306	17.4%
7	238	13.5%
8	210	11.9%
9	121	6.9%
10	79	4.5%
11	42	2.4%

Value	Count	Frequency (%)
16	1	0.1%
15	6	0.3%
14	7	0.4%
13	17	1.0%
12	28	1.6%
11	42	2.4%
10	79	4.5%
9	121	6.9%
8	210	11.9%
7	238	13.5%

bedrooms
Real number (ℝ)

Distinct	8
Distinct (%)	0.5%
Missing	5
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	2.8049059

Minimum	0
Maximum	7
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.81833924
Coefficient of variation (CV)	0.29175284
Kurtosis	0.91186326
Mean	2.8049059
Median Absolute Deviation (MAD)	0
Skewness	0.028899542
Sum	4917
Variance	0.66967911
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	927	52.7%
2	449	25.5%
4	253	14.4%
1	99	5.6%
5	18	1.0%
6	5	0.3%
0	1	0.1%
7	1	0.1%
(Missing)	5	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	99	5.6%
2	449	25.5%
3	927	52.7%
4	253	14.4%
5	18	1.0%
6	5	0.3%
7	1	0.1%

Value	Count	Frequency (%)
7	1	0.1%
6	5	0.3%
5	18	1.0%
4	253	14.4%
3	927	52.7%
2	449	25.5%
1	99	5.6%
0	1	0.1%

washrooms
Real number (ℝ)

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4459613

Minimum	0
Maximum	7
Zeros	5
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.58746454
Coefficient of variation (CV)	0.40627957
Kurtosis	4.1198373
Mean	1.4459613
Median Absolute Deviation (MAD)	0
Skewness	1.2052077
Sum	2542
Variance	0.34511458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	1034	58.8%
2	654	37.2%
3	63	3.6%
0	5	0.3%
7	1	0.1%
4	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.3%
1	1034	58.8%
2	654	37.2%
3	63	3.6%
4	1	0.1%
7	1	0.1%

Value	Count	Frequency (%)
7	1	0.1%
4	1	0.1%
3	63	3.6%
2	654	37.2%
1	1034	58.8%
0	5	0.3%

year_built
Real number (ℝ)

Distinct	108
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1948.9039

Minimum	1870
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	1870
5-th percentile	1910
Q1	1931
median	1955
Q3	1964
95-th percentile	1976
Maximum	2020
Range	150
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	22.54649
Coefficient of variation (CV)	0.011568805
Kurtosis	0.33591832
Mean	1948.9039
Median Absolute Deviation (MAD)	11
Skewness	-0.76864097
Sum	3426173
Variance	508.3442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1910	100	5.7%
1965	63	3.6%
1968	60	3.4%
1957	60	3.4%
1967	58	3.3%
1966	58	3.3%
1951	55	3.1%
1963	55	3.1%
1958	55	3.1%
1962	54	3.1%
Other values (98)	1140	64.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1870	1	0.1%
1875	4	0.2%
1880	4	0.2%
1885	12	0.7%
1890	4	0.2%
1892	1	0.1%
1895	1	0.1%
1900	47	2.7%
1902	2	0.1%
1903	2	0.1%

Value	Count	Frequency (%)
2020	1	0.1%
2019	1	0.1%
2017	1	0.1%
2010	1	0.1%
2009	1	0.1%
2008	1	0.1%
2004	1	0.1%
2001	1	0.1%
2000	2	0.1%
1999	1	0.1%

living_area
Real number (ℝ)

Distinct	1139
Distinct (%)	64.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1517.4905

Minimum	10.89
Maximum	13530
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	10.89
5-th percentile	856.442
Q1	1071.9525
median	1239.6435
Q3	1800
95-th percentile	2886.294
Maximum	13530
Range	13519.11
Interquartile range (IQR)	728.0475

Descriptive statistics

Standard deviation	809.10303
Coefficient of variation (CV)	0.53318492
Kurtosis	54.705312
Mean	1517.4905
Median Absolute Deviation (MAD)	234.29
Skewness	4.9358417
Sum	2667748.2
Variance	654647.72
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	48	2.7%
1000	29	1.6%
1050	23	1.3%
1260	18	1.0%
1280	18	1.0%
1344	17	1.0%
1125	16	0.9%
1080	15	0.9%
1120	15	0.9%
1140	13	0.7%
Other values (1129)	1546	87.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.89	2	0.1%
25	1	0.1%
63	1	0.1%
80	1	0.1%
217.8	1	0.1%
264.2	1	0.1%
319.9	1	0.1%
400	1	0.1%
476	1	0.1%
613.8	1	0.1%

Value	Count	Frequency (%)
13530	1	0.1%
11961.43	1	0.1%
11069.76	1	0.1%
5626	1	0.1%
5550	1	0.1%
4976.802	1	0.1%
4803	1	0.1%
4563.9	1	0.1%
4433.65	1	0.1%
4101.05	1	0.1%

yard_area
Real number (ℝ)

Distinct	1274
Distinct (%)	72.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3054.2685

Minimum	95.69
Maximum	26823.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	95.69
5-th percentile	1699.527
Q1	2208.26
median	2848.5
Q3	3676.45
95-th percentile	5003.1
Maximum	26823.65
Range	26727.96
Interquartile range (IQR)	1468.19

Descriptive statistics

Standard deviation	1270.6153
Coefficient of variation (CV)	0.41601298
Kurtosis	73.461745
Mean	3054.2685
Median Absolute Deviation (MAD)	705.955
Skewness	4.817478
Sum	5369404.1
Variance	1614463.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2500.46	22	1.3%
2249.66	18	1.0%
2999.9	14	0.8%
1999.93	12	0.7%
2625	11	0.6%
1950	11	0.6%
2500	11	0.6%
1950.42	10	0.6%
3999.87	9	0.5%
2250	9	0.5%
Other values (1264)	1631	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
95.69	1	0.1%
162	1	0.1%
171	1	0.1%
176.5	1	0.1%
785	1	0.1%
786	1	0.1%
1008	1	0.1%
1041.95	1	0.1%
1176.49	1	0.1%
1179.72	1	0.1%

Value	Count	Frequency (%)
26823.65	1	0.1%
14545.27	1	0.1%
8543.31	1	0.1%
8175.19	1	0.1%
8062.17	1	0.1%
7768.96	1	0.1%
7349.59	1	0.1%
7332.37	1	0.1%
7324	1	0.1%
7204	1	0.1%

has_certificate
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

1	1465
0	293

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

Most occurring characters

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1465	83.3%
0	293	16.7%

year_certificate
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	72
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1675.8686

Minimum	0
Maximum	2023
Zeros	293
Zeros (%)	16.7%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1991
median	2013
Q3	2021
95-th percentile	2023
Maximum	2023
Range	2023
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	749.80827
Coefficient of variation (CV)	0.44741471
Kurtosis	1.2044357
Mean	1675.8686
Median Absolute Deviation (MAD)	9
Skewness	-1.7890647
Sum	2946177
Variance	562212.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	293	16.7%
2022	270	15.4%
2021	152	8.6%
2023	125	7.1%
2020	56	3.2%
2017	53	3.0%
2019	48	2.7%
2016	42	2.4%
2018	42	2.4%
2015	41	2.3%
Other values (62)	636	36.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	293	16.7%
1947	1	0.1%
1948	1	0.1%
1949	1	0.1%
1950	1	0.1%
1951	2	0.1%
1952	2	0.1%
1955	1	0.1%
1957	4	0.2%
1958	2	0.1%

Value	Count	Frequency (%)
2023	125	7.1%
2022	270	15.4%
2021	152	8.6%
2020	56	3.2%
2019	48	2.7%
2018	42	2.4%
2017	53	3.0%
2016	42	2.4%
2015	41	2.3%
2014	40	2.3%

due_certificate
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1200
1	558

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

Most occurring characters

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1200	68.3%
1	558	31.7%

near_water
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1695
1	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1695	96.4%
1	63	3.6%

has_pool
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1685
1	73

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1685	95.8%
1	73	4.2%

total_parking
Real number (ℝ)

Distinct	10
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1370876

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2869384
Coefficient of variation (CV)	0.60219264
Kurtosis	4.7199943
Mean	2.1370876
Median Absolute Deviation (MAD)	1
Skewness	1.6311766
Sum	3757
Variance	1.6562105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	684	38.9%
2	556	31.6%
3	244	13.9%
4	205	11.7%
5	36	2.0%
6	18	1.0%
7	7	0.4%
8	5	0.3%
10	2	0.1%
12	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	684	38.9%
2	556	31.6%
3	244	13.9%
4	205	11.7%
5	36	2.0%
6	18	1.0%
7	7	0.4%
8	5	0.3%
10	2	0.1%
12	1	0.1%

Value	Count	Frequency (%)
12	1	0.1%
10	2	0.1%
8	5	0.3%
7	7	0.4%
6	18	1.0%
5	36	2.0%
4	205	11.7%
3	244	13.9%
2	556	31.6%
1	684	38.9%

Plinthes électriques
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

1	1485
0	273

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Most occurring characters

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1485	84.5%
0	273	15.5%

Convecteurs
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1596
1	162

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1596	90.8%
1	162	9.2%

Eau chaude
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1335
1	423

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Most occurring characters

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1335	75.9%
1	423	24.1%

Air soufflé (pulsé)
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1628
1	130

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1628	92.6%
1	130	7.4%

Radiant
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1731
1	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1731	98.5%
1	27	1.5%

Thermopompe
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1481
1	277

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring characters

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Gaz naturel
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1757
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Poêle à bois
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1757
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Foyer au gaz
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1757
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

water_access
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1752
1	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1752	99.7%
1	6	0.3%

has_fireplace
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1612
1	146

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1612	91.7%
1	146	8.3%

fireplace_func
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1622
1	136

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Most occurring characters

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1622	92.3%
1	136	7.7%

Porte de garage électrique
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1741
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Buanderie
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1741
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1741	99.0%
1	17	1.0%

Climatiseur
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1481
1	277

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring characters

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1481	84.2%
1	277	15.8%

Aspirateur centrale
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1660
1	98

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1660	94.4%
1	98	5.6%

Spa
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1756
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Détecteur d'incendie(relié)
Categorical

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1758

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1758	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1758	100.0%

Détecteur d'incendie(non relié)
Categorical

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1758

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1758	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1758	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1758	100.0%

Adapté pour personne à mobilité réduite
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1755
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Interphone
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1750
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1750	99.5%
1	8	0.5%

Fournaise
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1755
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1755	99.8%
1	3	0.2%

Planchers chauffant
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1757
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	99.9%
1	1	0.1%

Ascenseur
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1756
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1756	99.9%
1	2	0.1%

Échangeur d'air
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1730
1	28

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1730	98.4%
1	28	1.6%

Système d'alarme
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1670
1	88

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1670	95.0%
1	88	5.0%

Borne de recharge
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1751
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1751	99.6%
1	7	0.4%

has_reno
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.0 KiB

0	1476
1	282

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1758
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1758	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1758	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1476	84.0%
1	282	16.0%

last_year_reno
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	23
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	330.2281

Minimum	0
Maximum	8937
Zeros	1476
Zeros (%)	84.0%
Negative	0
Negative (%)	0.0%
Memory size	92.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2021
Maximum	8937
Range	8937
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	780.93008
Coefficient of variation (CV)	2.3648202
Kurtosis	11.257065
Mean	330.2281
Median Absolute Deviation (MAD)	0
Skewness	2.5997759
Sum	580541
Variance	609851.79
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	1476	84.0%
2021	53	3.0%
2020	43	2.4%
2022	32	1.8%
2019	28	1.6%
2018	18	1.0%
2016	18	1.0%
2017	16	0.9%
2015	14	0.8%
2012	10	0.6%
Other values (13)	50	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1476	84.0%
2000	1	0.1%
2003	1	0.1%
2005	1	0.1%
2006	4	0.2%
2008	3	0.2%
2009	4	0.2%
2010	4	0.2%
2011	3	0.2%
2012	10	0.6%

Value	Count	Frequency (%)
8937	1	0.1%
6565	1	0.1%
2023	9	0.5%
2022	32	1.8%
2021	53	3.0%
2020	43	2.4%
2019	28	1.6%
2018	18	1.0%
2017	16	0.9%
2016	18	1.0%

Auto

Heatmap
Table

	ID	price	income	land_eval	build_eval	rooms	bedrooms	washrooms	year_built	living_area	yard_area	year_certificate	total_parking	last_year_reno	units	has_certificate	due_certificate	near_water	has_pool	Plinthes électriques	Convecteurs	Eau chaude	Air soufflé (pulsé)	Radiant	Thermopompe	Gaz naturel	Poêle à bois	Foyer au gaz	water_access	has_fireplace	fireplace_func	Porte de garage électrique	Buanderie	Climatiseur	Aspirateur centrale	Spa	Adapté pour personne à mobilité réduite	Interphone	Fournaise	Planchers chauffant	Ascenseur	Échangeur d'air	Système d'alarme	Borne de recharge	has_reno
ID	1.000	0.013	0.001	0.017	-0.024	0.031	0.026	-0.028	0.008	-0.016	0.014	-0.013	0.062	-0.014	0.091	0.000	0.004	0.090	0.056	0.063	0.000	0.110	0.062	0.053	0.000	0.000	0.000	0.000	0.000	0.156	0.165	0.071	0.000	0.080	0.037	0.000	0.000	0.000	0.000	0.008	0.000	0.009	0.075	0.089	0.033
price	0.013	1.000	0.467	0.282	0.255	0.053	0.033	0.084	-0.071	0.177	0.123	-0.007	0.059	-0.004	0.118	0.055	0.000	0.029	0.023	0.005	0.087	0.055	0.077	0.000	0.029	0.000	0.000	0.000	0.039	0.088	0.063	0.039	0.008	0.086	0.037	0.011	0.000	0.000	0.035	0.000	0.099	0.000	0.051	0.000	0.000
income	0.001	0.467	1.000	0.185	0.351	0.017	0.018	0.030	0.003	0.174	0.097	0.098	0.064	0.033	0.190	0.000	0.051	0.048	0.000	0.020	0.013	0.000	0.000	0.026	0.061	0.000	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.000
land_eval	0.017	0.282	0.185	1.000	0.274	0.150	0.080	0.081	-0.153	0.144	0.393	0.120	0.158	-0.024	0.052	0.028	0.057	0.000	0.060	0.085	0.050	0.124	0.046	0.000	0.000	0.000	0.000	0.000	0.103	0.000	0.000	0.000	0.000	0.057	0.023	0.000	0.000	0.000	0.062	0.000	0.000	0.034	0.000	0.000	0.000
build_eval	-0.024	0.255	0.351	0.274	1.000	0.077	0.068	0.058	0.102	0.181	-0.070	0.089	0.026	0.032	0.131	0.000	0.051	0.096	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.023	0.113	0.000	0.000	0.072	0.061	0.000	0.000	0.088	0.035	0.076	0.020	0.000	0.000	0.000	0.062	0.069	0.000	0.000	0.000
rooms	0.031	0.053	0.017	0.150	0.077	1.000	0.605	0.588	0.180	0.068	0.185	0.040	0.201	0.047	0.156	0.030	0.000	0.022	0.090	0.131	0.070	0.163	0.111	0.040	0.136	0.000	0.000	0.000	0.000	0.122	0.111	0.058	0.070	0.128	0.131	0.000	0.000	0.126	0.000	0.000	0.000	0.000	0.091	0.000	0.074
bedrooms	0.026	0.033	0.018	0.080	0.068	0.605	1.000	0.444	0.319	0.158	0.289	-0.020	0.259	0.013	0.115	0.025	0.000	0.000	0.056	0.128	0.000	0.106	0.077	0.000	0.000	0.000	0.000	0.000	0.000	0.058	0.062	0.049	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
washrooms	-0.028	0.084	0.030	0.081	0.058	0.588	0.444	1.000	0.245	0.073	0.187	0.006	0.184	0.007	0.450	0.021	0.026	0.000	0.039	0.137	0.000	0.098	0.096	0.040	0.112	0.000	0.000	0.000	0.000	0.147	0.151	0.065	0.053	0.156	0.084	0.000	0.000	0.151	0.000	0.000	0.000	0.000	0.046	0.000	0.116
year_built	0.008	-0.071	0.003	-0.153	0.102	0.180	0.319	0.245	1.000	0.145	0.442	-0.019	0.460	0.021	0.114	0.000	0.000	0.000	0.070	0.162	0.097	0.202	0.122	0.053	0.125	0.000	0.037	0.000	0.025	0.193	0.191	0.075	0.000	0.158	0.039	0.000	0.000	0.033	0.000	0.000	0.212	0.299	0.079	0.000	0.000
living_area	-0.016	0.177	0.174	0.144	0.181	0.068	0.158	0.073	0.145	1.000	0.295	-0.072	0.148	0.019	0.097	0.100	0.071	0.074	0.000	0.000	0.000	0.022	0.042	0.000	0.051	0.000	0.000	0.000	0.000	0.074	0.076	0.000	0.000	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.032	0.000	0.000	0.000	0.000
yard_area	0.014	0.123	0.097	0.393	-0.070	0.185	0.289	0.187	0.442	0.295	1.000	0.054	0.532	-0.007	0.138	0.000	0.030	0.145	0.191	0.113	0.000	0.137	0.077	0.051	0.084	0.000	0.000	0.000	0.301	0.167	0.165	0.000	0.000	0.086	0.037	0.000	0.000	0.246	0.000	0.000	0.000	0.000	0.000	0.000	0.061
year_certificate	-0.013	-0.007	0.098	0.120	0.089	0.040	-0.020	0.006	-0.019	-0.072	0.054	1.000	0.079	0.023	0.000	0.998	0.302	0.006	0.000	0.000	0.017	0.000	0.000	0.029	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.047	0.028	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.032
total_parking	0.062	0.059	0.064	0.158	0.026	0.201	0.259	0.184	0.460	0.148	0.532	0.079	1.000	-0.008	0.089	0.034	0.000	0.036	0.102	0.087	0.000	0.072	0.090	0.000	0.081	0.000	0.000	0.000	0.076	0.150	0.151	0.000	0.000	0.128	0.058	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.097	0.000	0.053
last_year_reno	-0.014	-0.004	0.033	-0.024	0.032	0.047	0.013	0.007	0.021	0.019	-0.007	0.023	-0.008	1.000	0.055	0.013	0.000	0.000	0.119	0.000	0.000	0.000	0.075	0.000	0.067	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.066	0.049	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.067	0.087	0.999
units	0.091	0.118	0.190	0.052	0.131	0.156	0.115	0.450	0.114	0.097	0.138	0.000	0.089	0.055	1.000	0.000	0.038	0.010	0.013	0.107	0.042	0.080	0.077	0.000	0.145	0.000	0.000	0.000	0.000	0.040	0.050	0.000	0.000	0.117	0.092	0.000	0.021	0.123	0.000	0.000	0.000	0.000	0.045	0.000	0.094
has_certificate	0.000	0.055	0.000	0.028	0.000	0.030	0.025	0.021	0.000	0.100	0.000	0.998	0.034	0.013	0.000	1.000	0.302	0.006	0.000	0.000	0.017	0.000	0.000	0.029	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.047	0.028	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.032
due_certificate	0.004	0.000	0.051	0.057	0.051	0.000	0.000	0.026	0.000	0.071	0.030	0.302	0.000	0.000	0.038	0.302	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.011	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
near_water	0.090	0.029	0.048	0.000	0.096	0.022	0.000	0.000	0.000	0.074	0.145	0.006	0.036	0.000	0.010	0.006	0.000	1.000	0.000	0.000	0.039	0.011	0.023	0.000	0.000	0.000	0.000	0.000	0.276	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
has_pool	0.056	0.023	0.000	0.060	0.000	0.090	0.056	0.039	0.070	0.000	0.191	0.000	0.102	0.119	0.013	0.000	0.000	0.000	1.000	0.000	0.029	0.000	0.038	0.000	0.075	0.049	0.000	0.000	0.000	0.062	0.069	0.000	0.000	0.066	0.140	0.026	0.000	0.000	0.000	0.000	0.000	0.019	0.029	0.049	0.047
Plinthes électriques	0.063	0.005	0.020	0.085	0.000	0.131	0.128	0.137	0.162	0.000	0.113	0.000	0.087	0.000	0.107	0.000	0.000	0.000	0.000	1.000	0.057	0.488	0.193	0.077	0.043	0.000	0.000	0.000	0.000	0.069	0.075	0.000	0.018	0.028	0.000	0.000	0.000	0.000	0.031	0.000	0.000	0.000	0.000	0.000	0.000
Convecteurs	0.000	0.087	0.013	0.050	0.000	0.070	0.000	0.000	0.097	0.000	0.000	0.017	0.000	0.000	0.042	0.017	0.000	0.039	0.029	0.057	1.000	0.000	0.000	0.000	0.105	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.100	0.012	0.017
Eau chaude	0.110	0.055	0.000	0.124	0.000	0.163	0.106	0.098	0.202	0.022	0.137	0.000	0.072	0.000	0.080	0.000	0.000	0.011	0.000	0.488	0.000	1.000	0.119	0.000	0.023	0.000	0.000	0.000	0.000	0.010	0.016	0.055	0.022	0.057	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.025	0.000	0.008	0.000
Air soufflé (pulsé)	0.062	0.077	0.000	0.046	0.009	0.111	0.077	0.096	0.122	0.042	0.077	0.000	0.090	0.075	0.077	0.000	0.000	0.023	0.038	0.193	0.000	0.119	1.000	0.000	0.178	0.000	0.000	0.000	0.000	0.047	0.056	0.000	0.000	0.105	0.064	0.000	0.000	0.000	0.063	0.000	0.000	0.007	0.032	0.000	0.000
Radiant	0.053	0.000	0.026	0.000	0.000	0.040	0.000	0.040	0.053	0.000	0.051	0.029	0.000	0.000	0.000	0.029	0.000	0.000	0.000	0.077	0.000	0.000	0.000	1.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.005	0.000	0.000
Thermopompe	0.000	0.029	0.061	0.000	0.000	0.136	0.000	0.112	0.125	0.051	0.084	0.033	0.081	0.067	0.145	0.033	0.000	0.000	0.075	0.043	0.105	0.023	0.178	0.016	1.000	0.000	0.000	0.000	0.000	0.114	0.115	0.017	0.000	0.054	0.155	0.000	0.000	0.016	0.000	0.000	0.000	0.098	0.160	0.000	0.050
Gaz naturel	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Poêle à bois	0.000	0.000	0.050	0.000	0.113	0.000	0.000	0.000	0.037	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.027	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Foyer au gaz	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
water_access	0.000	0.039	0.000	0.103	0.000	0.000	0.000	0.000	0.025	0.000	0.301	0.000	0.076	0.000	0.000	0.000	0.017	0.276	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
has_fireplace	0.156	0.088	0.000	0.000	0.072	0.122	0.058	0.147	0.193	0.074	0.167	0.000	0.150	0.017	0.040	0.000	0.000	0.000	0.062	0.069	0.000	0.010	0.047	0.000	0.114	0.000	0.027	0.000	0.000	1.000	0.958	0.000	0.000	0.084	0.108	0.000	0.000	0.084	0.000	0.000	0.000	0.000	0.113	0.000	0.032
fireplace_func	0.165	0.063	0.000	0.000	0.061	0.111	0.062	0.151	0.191	0.076	0.165	0.000	0.151	0.000	0.050	0.000	0.000	0.000	0.069	0.075	0.000	0.016	0.056	0.000	0.115	0.000	0.029	0.000	0.000	0.958	1.000	0.000	0.000	0.079	0.108	0.000	0.000	0.088	0.000	0.000	0.000	0.000	0.092	0.000	0.023
Porte de garage électrique	0.071	0.039	0.000	0.000	0.000	0.058	0.049	0.065	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.056	0.060	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Buanderie	0.000	0.008	0.000	0.000	0.000	0.070	0.000	0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.000	0.018	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.090	0.000	0.000	0.000	0.000	0.000	0.000	0.079	0.000	0.000	0.000	0.000
Climatiseur	0.080	0.086	0.000	0.057	0.088	0.128	0.075	0.156	0.158	0.014	0.086	0.022	0.128	0.066	0.117	0.022	0.000	0.000	0.066	0.028	0.000	0.057	0.105	0.000	0.054	0.000	0.000	0.000	0.000	0.084	0.079	0.056	0.090	1.000	0.189	0.000	0.000	0.016	0.000	0.000	0.000	0.072	0.175	0.025	0.069
Aspirateur centrale	0.037	0.037	0.024	0.023	0.035	0.131	0.000	0.084	0.039	0.000	0.037	0.000	0.058	0.049	0.092	0.000	0.000	0.000	0.140	0.000	0.050	0.000	0.064	0.000	0.155	0.000	0.000	0.000	0.000	0.108	0.108	0.060	0.000	0.189	1.000	0.016	0.000	0.000	0.000	0.040	0.016	0.074	0.290	0.037	0.054
Spa	0.000	0.011	0.000	0.000	0.076	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.000	0.000	0.000	0.047	0.000	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Adapté pour personne à mobilité réduite	0.000	0.000	0.064	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.021	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Interphone	0.000	0.000	0.000	0.000	0.000	0.126	0.000	0.151	0.033	0.000	0.246	0.000	0.070	0.000	0.123	0.000	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.084	0.088	0.000	0.000	0.016	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.035	0.000	0.015
Fournaise	0.000	0.035	0.000	0.062	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.031	0.000	0.000	0.063	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000
Planchers chauffant	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.040	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000
Ascenseur	0.000	0.099	0.000	0.000	0.062	0.000	0.000	0.000	0.212	0.032	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.079	0.000	0.016	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.020	0.000	0.000
Échangeur d'air	0.009	0.000	0.000	0.034	0.069	0.000	0.000	0.000	0.299	0.000	0.000	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.019	0.000	0.000	0.025	0.007	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.074	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.044
Système d'alarme	0.075	0.051	0.048	0.000	0.000	0.091	0.000	0.046	0.079	0.000	0.000	0.017	0.097	0.067	0.045	0.017	0.000	0.000	0.029	0.000	0.100	0.000	0.032	0.005	0.160	0.000	0.000	0.000	0.000	0.113	0.092	0.000	0.000	0.175	0.290	0.000	0.000	0.035	0.000	0.000	0.020	0.000	1.000	0.128	0.070
Borne de recharge	0.089	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.087	0.000	0.000	0.000	0.000	0.049	0.000	0.012	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.037	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.128	1.000	0.080
has_reno	0.033	0.000	0.000	0.000	0.000	0.074	0.000	0.116	0.000	0.000	0.061	0.032	0.053	0.999	0.094	0.032	0.000	0.000	0.047	0.000	0.017	0.000	0.000	0.000	0.050	0.000	0.000	0.000	0.000	0.032	0.023	0.000	0.000	0.069	0.054	0.000	0.000	0.015	0.000	0.000	0.000	0.044	0.070	0.080	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ID	price	units	income	land_eval	build_eval	rooms	bedrooms	washrooms	year_built	living_area	yard_area	has_certificate	year_certificate	due_certificate	has_pool	total_parking	Plinthes électriques	Convecteurs	Eau chaude	Thermopompe	Porte de garage électrique	Buanderie	Climatiseur	Aspirateur centrale	Ascenseur	has_reno	last_year_reno
0	1	1000000	3	46200	254400	755700	8.0	3.0	1	1900	2972.99	2500.46	0	0	0	0	1	1	0	0	0	0	1	0	0	1	0	0
1	2	725000	3	37200	254400	539100	5.0	3.0	1	1910	2895.00	2500.46	1	2022	0	0	1	1	0	0	0	0	0	0	0	0	0	0
2	3	725000	3	37500	254400	513600	5.0	3.0	1	1910	2897.64	2500.46	1	2022	0	0	1	1	0	0	0	0	0	0	0	0	0	0
3	4	942000	3	54660	254400	939400	5.0	3.0	1	1910	1455.00	2500.46	1	2005	1	0	2	1	0	0	1	0	0	0	0	0	0	0
4	5	732000	2	32400	149400	274100	5.0	3.0	1	1930	2292.00	2250.00	0	0	0	0	2	1	0	0	0	0	0	0	0	0	0	0
5	6	775000	4	39768	149400	174700	3.0	1.0	1	1915	870.00	2249.66	1	2018	0	0	2	1	0	0	0	0	0	0	0	0	0	0
6	7	838000	3	46224	227900	472900	8.0	4.0	2	1923	2039.11	2228.34	0	0	0	0	1	1	0	0	0	0	0	1	0	0	1	2019
7	8	860000	2	51780	251100	392000	8.0	4.0	2	1953	1136.00	1680.00	1	2021	0	0	2	0	1	0	1	0	0	1	0	0	0	0
8	9	895000	3	51360	408800	451500	8.0	3.0	1	1952	2573.65	3999.87	1	2022	0	1	3	1	0	0	1	1	0	0	1	0	0	0
9	10	875000	3	40500	132800	362700	8.0	3.0	1	1931	1175.00	1999.93	1	2022	0	0	1	1	0	1	1	0	0	0	0	0	0	0

	ID	price	units	income	land_eval	build_eval	rooms	bedrooms	washrooms	year_built	living_area	yard_area	has_certificate	year_certificate	due_certificate	total_parking	Plinthes électriques	Convecteurs	Eau chaude	Thermopompe	Buanderie	has_reno	last_year_reno
1797	1798	950000	2	21600	293800	360200	7.0	3.0	2	1929	1127.50	2875.04	1	2021	0	2	1	0	0	0	0	0	0
1798	1799	940000	4	58200	386700	675400	6.0	3.0	1	1926	1075.00	2775.00	1	2022	0	3	1	0	1	0	0	0	0
1799	1800	975000	3	52200	232300	583600	6.0	4.0	2	1914	4433.65	2500.46	1	2016	0	2	0	0	1	0	0	0	0
1800	1801	745000	3	38640	198600	321800	6.0	3.0	1	1926	1039.36	2249.66	1	2022	0	1	1	0	0	0	1	0	0
1801	1802	870000	3	44580	303100	560600	10.0	3.0	1	1941	1102.75	2249.66	1	2023	0	1	0	0	1	0	0	0	0
1802	1803	745000	2	38640	270400	473200	4.0	2.0	1	1910	997.50	1819.10	1	2016	0	1	0	0	1	0	0	0	0
1803	1804	921000	3	43800	427400	549500	6.0	2.0	1	1925	1100.00	2874.00	1	2022	0	1	1	0	0	0	0	0	0
1804	1805	995000	2	13824	210800	339400	4.0	2.0	1	1924	777.37	2101.00	1	2009	1	1	1	0	0	1	0	0	0
1805	1806	955000	5	55320	408800	702800	5.0	2.0	1	1926	1005.00	2750.00	1	1984	1	1	1	0	1	0	0	0	0
1806	1807	989000	2	49200	183900	431900	7.0	2.0	1	1920	1075.00	1800.00	1	1997	1	1	1	1	0	0	0	1	2013

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII